<p>In the rotor position estimation of permanent magnet synchronous motors (PMSM) using the saliency-tracking method, the presence of multiple-saliencies significantly degrades estimation performance. To effectively address his issue, this paper investigates measurement and suppression methods for multiple-saliencies effects in sensorless control of PMSMs utilizing high-frequency pulse voltage injection. Initially, a novel method utilizing dual d–q frames is proposed to measure the effects of multiple-saliencies. Unlike conventional measurement approaches, this method does not rely on physical position sensors, enabling effective extraction of secondary saliency features from the tested motor. Subsequently, a suppression strategy for multiple-saliencies effects is introduced, combining lookup tables (LUT) and adaptive notch filters (ANF), with special optimization of notch frequency settings for speed zero-crossing events. The effectiveness of the proposed method has been validated through experiments on both an interior PMSM (IPMSM) and a surface-mounted PMSM (SPMSM). This research not only effectively measures and suppresses multiple-saliencies effects, improving the accuracy of position estimation, but also offers an economical and efficient solution for sensorless motor control.</p>

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Sensorless Control of Permanent Magnet Synchronous Motors Considering Multiple-Saliencies Effects

  • Yalu Mu,
  • Fei Xiao,
  • Jilong Liu,
  • Zhiqin Mai,
  • Shun Li,
  • Kefeng Li

摘要

In the rotor position estimation of permanent magnet synchronous motors (PMSM) using the saliency-tracking method, the presence of multiple-saliencies significantly degrades estimation performance. To effectively address his issue, this paper investigates measurement and suppression methods for multiple-saliencies effects in sensorless control of PMSMs utilizing high-frequency pulse voltage injection. Initially, a novel method utilizing dual d–q frames is proposed to measure the effects of multiple-saliencies. Unlike conventional measurement approaches, this method does not rely on physical position sensors, enabling effective extraction of secondary saliency features from the tested motor. Subsequently, a suppression strategy for multiple-saliencies effects is introduced, combining lookup tables (LUT) and adaptive notch filters (ANF), with special optimization of notch frequency settings for speed zero-crossing events. The effectiveness of the proposed method has been validated through experiments on both an interior PMSM (IPMSM) and a surface-mounted PMSM (SPMSM). This research not only effectively measures and suppresses multiple-saliencies effects, improving the accuracy of position estimation, but also offers an economical and efficient solution for sensorless motor control.